2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2011
DOI: 10.1109/iembs.2011.6091458
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Dynamic analysis of EEG signals during spatial working memory used for either perception discrimination or planning of action

Abstract: We analysed multi-channel electroencephalographic (EEG) recordings during a spatial Working Memory (WM) task in order to test the hypothesis that segmentation of perception and action is present when the visual stimulus has been stored in spatial WM. To detect the interactions between different regions of the brain depending on the task we employed both Short Time Fourier Transformation (STFT) and the concept of Granger Causality (GC). Our computational analysis supports evidence that the Parietal Cortex (PC) … Show more

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Cited by 4 publications
(2 citation statements)
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“…Interestingly, female participants showed stronger theta oscillations during spatial navigation (Nishiyama et al, 2002). For spatial memory, the perception and action in the memory task are different by EEG network analysis (Protopapa et al, 2011). The power of EEG signals from AD patients on alpha and theta frequency bands was significantly higher relative to normal control when performing object-location memory tasks (Han et al, 2017).…”
Section: Research State Of Scet With the Change Of Bci Signalsmentioning
confidence: 98%
“…Interestingly, female participants showed stronger theta oscillations during spatial navigation (Nishiyama et al, 2002). For spatial memory, the perception and action in the memory task are different by EEG network analysis (Protopapa et al, 2011). The power of EEG signals from AD patients on alpha and theta frequency bands was significantly higher relative to normal control when performing object-location memory tasks (Han et al, 2017).…”
Section: Research State Of Scet With the Change Of Bci Signalsmentioning
confidence: 98%
“…These basic functions are obtained by dilations, contractions and shifts of a unique function called wavelet prototype. Continuous wavelets are functions generated from one single function  by dilations and translations [16][17][18][19].…”
Section: Wavelet Transformmentioning
confidence: 99%